PřF:C6202 Omics Technologies - Course Information
C6202 Omics Technologies (proteomics, genomics, metabolomics)
Faculty of ScienceSpring 2026
The course is not taught in Spring 2026
- Extent and Intensity
- 2/0/0. 2 credit(s) (plus 2 credits for an exam). Type of Completion: zk (examination).
In-person direct teaching - Teacher(s)
- doc. Mgr. Pavel Bouchal, Ph.D. (lecturer)
doc. Mgr. Jan Lochman, Ph.D. (lecturer) - Guaranteed by
- doc. Mgr. Pavel Bouchal, Ph.D.
Department of Biochemistry – Chemistry Section – Faculty of Science
Supplier department: Department of Biochemistry – Chemistry Section – Faculty of Science - Prerequisites
- The courses Biochemistry II (C4182en), Molecular biology (Bi4025en) and Introduction to bioinformatics (C2131en)
- Course Enrolment Limitations
- The course is offered to students of any study field.
- Abstract
- The course aims to introduce the use of various omics technologies that aim to collectively characterize pools of biological molecules in a single experiment. The focus is on omics technologies in research today.
- Learning outcomes
- The student will gain insight into the current technologies available to study the different molecular biological levels (genome/transcriptome/proteome/metabolome). The student will be able to assess their applications and critically evaluate them for specific applications. This will be achieved through specific examples. The student will know and understand current identification approaches (sequence analysis/microarray, mass spectrometry) and will be able to analyze and interpret the biological information obtained based on bioinformatic and experimental approaches.
- Key topics
- 1st Block - Genome analysis - Overview of genome complexity and mapping approaches - High throughput sequencing analysis techniques, ChIPseq - Genome-scale chemical synthesis approaches for nucleic acids - Bioinformatic analysis of genomes - 16S sequencing and metagenomic analysis 2nd Block - Transcriptome analysis - Techniques in transcriptome analysis - Bioinformatical analysis of RNAseq data - Related biostatistics 3rd Block - Proteome and Metabolome analysis - Protein expression and analysis - Proteome analysis approaches - Principles of mass spectrometry - Peptidomics - Metabolomics - Bioinformatical analysis of proteome data 4th Block - Examples and applications - Pharmacogenomics and genetics - GWAS experiments
- Approaches, practices, and methods used in teaching
- Lecture - Power Point presentations
- Method of verifying learning outcomes and course completion requirements
- Written examination.
- Language of instruction
- English
- Permalink: https://is.muni.cz/course/sci/spring2026/C6202